Package: abctools 1.1.7
Matt Nunes
abctools: Tools for ABC Analyses
Tools for approximate Bayesian computation including summary statistic selection and assessing coverage. See Nunes and Prangle (2015) <doi:10.32614/RJ-2015-030> and Rodrigues, Prangle and Sisson (2018) <doi:10.1016/j.csda.2018.04.004>.
Authors:
abctools_1.1.7.tar.gz
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abctools.pdf |abctools.html✨
abctools/json (API)
# Install 'abctools' in R: |
install.packages('abctools', repos = c('https://dennisprangle.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dennisprangle/abctools/issues
Last updated 1 years agofrom:f8b9691b1f. Checks:OK: 7 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 09 2024 |
R-4.5-win-x86_64 | NOTE | Nov 09 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 09 2024 |
R-4.4-win-x86_64 | OK | Nov 09 2024 |
R-4.4-mac-x86_64 | OK | Nov 09 2024 |
R-4.4-mac-aarch64 | OK | Nov 09 2024 |
R-4.3-win-x86_64 | OK | Nov 09 2024 |
R-4.3-mac-x86_64 | OK | Nov 09 2024 |
R-4.3-mac-aarch64 | OK | Nov 09 2024 |
Exports:AS.selectAS.testcombmatcov.mccov.picovstats.mccovstats.pifillcombmc.cimincritnn.entrecalibrationABCrssesaABCselectsummsemiauto.abcssestage2
Dependencies:abcabc.dataabindbackportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelocfitmagrittrMASSMatrixMatrixModelsmemoisemgcvmimemunsellnlmennetpillarpkgconfigplyrquantregR6rappdirsRColorBrewerRcpprlangrmarkdownrpartrstudioapisassscalesSparseMstringistringrsurvivaltibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Tools for ABC analyses | abctools-package abctools |
Summary statistics selection using approximate sufficiency. | AS.select |
Test for relative approximate sufficiency between two posterior samples. | AS.test |
Examples of coalescent data | coal coalobs |
table of combinations | combmat combtable fillcomb |
Coverage property diagnostics | cov.mc cov.pi covstats.mc covstats.pi |
Diagnostic plots for model choice coverage output | mc.ci |
Summary statistics selection by minimizing a posterior sample measure. | mincrit |
Works out entropy of a sample. | nn.ent |
ABC inference with a recalibration adjustment | recalibrationABC |
Simulation error measures. | rsse sse |
Summary statistic construction by semi-automatic ABC | saABC |
Generic function for selecting summary statistics in ABC inference. | selectsumm |
Performs semi-automatic ABC based on summary statistics regression. | semiauto.abc |
stage2 | stage2 |